Object/Class

com.simiacryptus.mindseye.dataframes

DataframeModeler

Related Docs: class DataframeModeler | package dataframes

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object DataframeModeler extends Serializable

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  1. DataframeModeler
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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. final def eq(arg0: AnyRef): Boolean

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  7. def equals(arg0: Any): Boolean

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  8. def evalFeedback(feedback: Tensor): (Result) ⇒ Map[UUID, Array[Double]]

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. final def ne(arg0: AnyRef): Boolean

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. def rawHash(str: String): HashCode

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  17. val seedKey: Array[Byte]

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  18. final def synchronized[T0](arg0: ⇒ T0): T0

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  19. def toDelta(remoteResult: Result, feedback: Tensor): DeltaSet[UUID]

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  20. def toMap(deltaSet: DeltaSet[UUID]): Map[UUID, Array[Double]]

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  21. def toString(): String

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  22. final def wait(): Unit

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  23. final def wait(arg0: Long, arg1: Int): Unit

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  24. final def wait(arg0: Long): Unit

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  25. def zip[T](o: RDD[T]*)(implicit arg0: ClassTag[T]): RDD[Seq[T]]

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  26. def zip(o: DataFrame*)(implicit sparkSession: SparkSession): DataFrame

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